Change Data Capture (CDC) minimizes the need to reprocess entire datasets by focusing only on incremental changes such as inserts, updates, and deletions.
Implementing CDC in systems without native features requires careful table and process design to minimize performance impacts, ensuring reliable data synchronization.
Incorporating timestamp and version columns in tables effectively tracks changes, providing an audit trail and facilitating the synchronization of modified records.
The lack of built-in CDC features can lead to slow updates and data inconsistencies, necessitating manual change tracking to maintain system integrity.
#change-data-capture #database-management #incremental-updates #data-synchronization #data-architecture
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